Cognition in Essential Tremor: A Neuroimaging and Biomarker Study
Cognition in Essential Tremor: A Neuroimaging and Biomarker Study
批准号:
10604948
负责人:
Adrianna Marta Ratajska
金额:
$4.19万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2023
资助国家:
美国
项目状态:
未结题
起止时间:
2023-05-16 至 2025-05-15
关键词:
AddressAffectAgeAlzheimer&aposs DiseaseAreaBilateralBiological MarkersBrainCerebellar DiseasesCerebellumClinicalCognitionCognitiveCognitive deficitsDataData AnalysesDeep Brain StimulationDementiaDepositionDevelopmentDiagnosisDiffusion Magnetic Resonance ImagingDimensionsDiseaseDoctor of PhilosophyElderlyEnvironmentEssential TremorFamilyGlial Fibrillary Acidic ProteinGoalsHeterogeneityHippocampusImageImpaired cognitionIndividualInfrastructureKineticsLanguageLightLinkMagnetic Resonance ImagingMapsMeasurementMeasuresMedialMemoryMentorsNatureNerve DegenerationNeuroanatomyNeurocognitiveNeurologic ProcessOperative Surgical ProceduresPatientsPersonsPhenotypePlasmaPosturePrefrontal CortexProcessProductivityProfessional CompetenceProgramming LanguagesResearchResourcesRiskSamplingStatistical ComputingSubgroupSystemTechniquesThalamic structureTrainingTremorWaterage relatedage related neurodegenerationbasecognitive changecohortcomputerized data processingdementia riskdisabilityepidemiology studyexecutive functionimaging approachin vivoindexinginnovationinterestmotor disordermultimodalitynervous system disorderneuralneural correlateneurofilamentneuroimagingneuromechanismneuropathologynon-dementedpeerpredictive markerprogramsskillstau Proteinstau-1
中文摘要
项目总结/文摘
英文摘要
PROJECT SUMMARY/ABSTRACT
Essential tremor (ET) is among the most prevalent neurological disorders in the world. In addition to the
hallmark feature of bilateral kinetic tremor, individuals with essential tremor often present with mild cognitive
changes that have been primarily characterized as dysexecutive and viewed as being related to abnormalities
in cerebello-cortical networks. However, growing evidence suggests that cognitive difficulties can extend
beyond the frontal-executive domain, and epidemiological research has shown that individuals with ET are at
an increased risk for developing dementia compared to age-matched peers. Prior research conducted by the
applicant identified a subgroup of ET patients who had broader cognitive deficits, including poor memory. This
gives rise to the question of whether there may be more widespread neural changes occurring outside
cerebellar networks in at least a subset of individuals with ET. Indeed, preliminary findings from neuroimaging
and neuropathological studies have suggested that there may be a link between ET and Alzheimer’s disease.
Further research is warranted to explore this link, including examining biomarkers associated with cognitive
decline. The overall goal of the current study is to better understand the neural correlates of cognition in ET.
The proposed study aims to 1) identify cognitive phenotypes in ET using a data-driven (cluster analytic)
approach and comprehensive neurocognitive assessment, 2) determine whether different cognitive profiles in
ET vary in structural brain changes (i.e., free-water, volume), and 3) to explore whether plasma-acquired
biomarkers associated with Alzheimer’s disease are elevated in individuals with ET who have memory-related
changes relative to those who do not. Innovative features of the proposed study include determining
neuroanatomical correlates of cognition in individuals with ET who have different types of cognitive deficits and
use of free-water imaging and plasma biomarkers as sensitive and powerful in vivo markers of early
neurodegeneration. Findings from this study may increase current understanding about the nature and
heterogeneity of cognitive changes in ET, with the potential to provide further information on the link between
ET and dementia. The proposed project will also provide the applicant with additional training beyond that
included in her Ph.D. program. Specifically, training goals will include 1) hands-on training in magnetic
resonance imaging data processing and analysis with emphasis on structural (T1) and free-water imaging, 2)
coursework in neural bases and mechanisms underlying cognitive dysfunction in age-related neurological
disorders, 3) didactics in plasma biomarkers associated with Alzheimer’s disease and dementia, 4) training in
using programming languages for statistical computing and neuroimaging processing, 5) development of
professional and career skills. The applicant is supported by a strong research environment with the necessary
resources and infrastructure for completion of the proposed project, as well as a productive mentoring team
with specific expertise in the proposed areas of study.
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